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Exploring first-mile on-demand transit solutions for North American suburbia: A case study of Markham, Canada

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  • Bürstlein, Johanna
  • López, David
  • Farooq, Bilal

Abstract

On-demand transit system designs are explored for the first-mile commuting in Markham, a suburb in the Greater Toronto Area (GTA). Operational scenarios are analysed using different types of on-demand solutions that can complement the existing GO Transit commuter train system. Various use cases of demand-responsive vehicles are explored in terms of vehicle capacity and fleet-size. It is assumed that the existing car-based trips to the four train stations in Markham would be replaced by an on-demand rideshare transit system. The on-demand transit system is simulated using the PTV MaaS Modeller in combination with a mesoscopic simulation, involving 1,865 trip requests within the morning peak from 7AM to 10AM. Wait-time, travel time, demand served, cost, and environmental impact are used as indicators to rate various options. Evaluating the results we came to the conclusion that three cases using vans are providing favourable outcomes. The van-based scenario using 75% of an optimal fleet size and a low detour factor turned out to be very appropriate with regard to the case study. A passenger in this scenario would at an average spend 3 min waiting for the service to arrive and 10 min in the vehicle, costing 7CAD for the ride. With a typical level of public transit subsidies applied, a 7% monthly saving is expected compared to using a private car and paying for parking fees. The scenario also results in 30% reduction in greenhouse gas emissions when compared to current personal vehicle based trips. Based on the simulation, policy suggestions for implementing the on-demand transit in Markham are presented.

Suggested Citation

  • Bürstlein, Johanna & López, David & Farooq, Bilal, 2021. "Exploring first-mile on-demand transit solutions for North American suburbia: A case study of Markham, Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 261-283.
    • Handle: RePEc:eee:transa:v:153:y:2021:i:c:p:261-283
    DOI: 10.1016/j.tra.2021.08.018
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    References listed on IDEAS

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    1. Cervero, Robert, 1993. "Surviving in the Suburbs: Transit's Untapped Frontier," University of California Transportation Center, Working Papers qt40v4837v, University of California Transportation Center.
    2. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    3. Chia-Nan Wang & Thanh-Tuan Dang & Tran Quynh Le & Panitan Kewcharoenwong, 2020. "Transportation Optimization Models for Intermodal Networks with Fuzzy Node Capacity, Detour Factor, and Vehicle Utilization Constraints," Mathematics, MDPI, vol. 8(12), pages 1-27, November.
    4. Ho, Chinh Q. & Mulley, Corinne & Hensher, David A., 2020. "Public preferences for mobility as a service: Insights from stated preference surveys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 70-90.
    5. Nicole Ronald & Russell Thompson & Stephan Winter, 2017. "Simulating ad-hoc demand-responsive transportation: a comparison of three approaches," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(3), pages 340-358, April.
    6. Sanaullah, Irum & Alsaleh, Nael & Djavadian, Shadi & Farooq, Bilal, 2021. "Spatio-temporal analysis of on-demand transit: A case study of Belleville, Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 284-301.
    7. Furuhata, Masabumi & Dessouky, Maged & Ordóñez, Fernando & Brunet, Marc-Etienne & Wang, Xiaoqing & Koenig, Sven, 2013. "Ridesharing: The state-of-the-art and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 28-46.
    8. Djavadian, Shadi & Chow, Joseph Y.J., 2017. "An agent-based day-to-day adjustment process for modeling ‘Mobility as a Service’ with a two-sided flexible transport market," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 36-57.
    9. Franco, Patrizia & Johnston, Ryan & McCormick, Ecaterina, 2020. "Demand responsive transport: Generation of activity patterns from mobile phone network data to support the operation of new mobility services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 244-266.
    10. Cayford, Randall & Yim, Y. B. Youngbin, 2004. "Personalized Demand-Responsive Transit Service," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt29j111ts, Institute of Transportation Studies, UC Berkeley.
    11. Liang, Xiao & Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 115-129.
    12. Sieber, L. & Ruch, C. & Hörl, S. & Axhausen, K.W. & Frazzoli, E., 2020. "Improved public transportation in rural areas with self-driving cars: A study on the operation of Swiss train lines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 35-51.
    13. Becker, Henrik & Balac, Milos & Ciari, Francesco & Axhausen, Kay W., 2020. "Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 228-243.
    14. Daganzo, Carlos F. & Ouyang, Yanfeng, 2019. "A general model of demand-responsive transportation services: From taxi to ridesharing to dial-a-ride," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 213-224.
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